The paper introduces FanarGuard, a bilingual moderation filter for Arabic and English language models that considers both safety and cultural alignment. A dataset of 468K prompt-response pairs was created and scored by LLM judges on harmlessness and cultural awareness to train the filter. The first benchmark targeting Arabic cultural contexts was developed to evaluate cultural alignment. Why it matters: FanarGuard advances context-sensitive AI safeguards by integrating cultural awareness into content moderation, addressing a critical gap in current alignment techniques.
MBZUAI computer vision graduate Yahia Dalbah pivoted from electrical engineering to a role at FortyGuard, a clean tech startup focused on geospatial analysis of outdoor temperatures. He will be a research and development engineer, responsible for machine learning and computer vision algorithms. FortyGuard provides governments and businesses with tools to measure and analyze factors affecting heat and temperature. Why it matters: This highlights the potential for AI education in the UAE to drive innovation in sustainability and environmental solutions through local startups.
G42 has launched Digital Embassies and Greenshield, a sovereign operating model enabling nations to securely deploy AI while maintaining legal control over data, systems, and policies, regardless of infrastructure location. Digital Embassies establish government-to-government legal constructs defining jurisdiction, while Greenshield, implemented by Core42, translates sovereign policy into execution. It applies consistent sovereign controls across environments, governing identity and access, data handling, security, compliance, auditability, and continuity. Why it matters: This framework could accelerate AI adoption across the region by helping governments overcome infrastructure readiness gaps while ensuring data sovereignty.